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will have a background in contemplative neuroscience and experience with machine learning approaches such as support vector machines, gradient boosted trees, or convolutional neural networks. A Master’s
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the laboratory and improve them on the basis of their performance to recognise drug induced cell morphologies About You You will have an MSc or equivalent qualification in mathematics, machine learning, LLMs, and
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well as collaboratively, and able to use standard computer programmes with confidence. You will have an awareness of health and safety regulations and a willingness to learn Facilities Management processes, showing
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capabilities o Demonstrated experience with machine learning and/or statistical modeling o Expertise in handling large-scale, complex datasets with strong data wrangling skills o Strong publication record
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research interests compatible with those of our current faculty in the following research groups: mathematical biology, mathematical and computational finance, numerical analysis, machine learning and data
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and Neumora ( https://neumoratx.com ), funded by the Michael J. Fox Foundation. You will perform neuronal differentiation and phenotypic testing in human induced pluripotent stem cell (iPSC)-derived
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to scientific questions and must be able to rapidly acquire skills in new programming languages, libraries and technologies. Any prior experience working with frontend/backend web development, machine learning